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Machine Learning Defense Jobs in Raleigh, NC (NOW HIRING)

Develop and validate machine learning models for analog design automation. * Analyze design data ... S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this ...

These markets include aerospace and defense, factory automation, air and water quality ... for autonomy, machine learning and biomedical applications. This position is onsite, at our ...

These markets include aerospace and defense, factory automation, air and water quality ... for autonomy, machine learning and biomedical applications. This position is onsite, at our ...

... Defense communities. Application areas involve data analytics, machine learning, probabilistic modeling, intelligent systems, and software systems supporting these methods. The engineer/scientist ...

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217K/yr

... defense research and development. We are seeking a visionary Electronic Warfare Systems Architect ... Emitter detection, classification, and geolocation - Guide the integration of machine learning ...

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217K/yr

... defense research and development. We are seeking a visionary Electronic Warfare Systems Architect ... Emitter detection, classification, and geolocation - Guide the integration of machine learning ...

Cyber Manager - AI SOC

Raleigh, NC · On-site

$107K - $145K/yr

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

As a Senior Consultant - Cyber Defense and Resilience, you will help deliver security engineering ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

These markets include aerospace and defense, factory automation, air and water quality ... learning, machine learning, persistent surveillance, autonomous systems, and computer vision. The ...

These markets include aerospace and defense, factory automation, air and water quality ... learning, machine learning, persistent surveillance, autonomous systems, and computer vision. The ...

... defense research and development. If you're passionate about innovation and want to make a ... Understand and apply machine learning concepts to solve assigned problems and inform designs.

... defense research and development. If you're passionate about innovation and want to make a ... Understand and apply machine learning concepts to solve assigned problems and inform designs.

Showing results 21-40

Machine Learning Defense information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

How much do machine learning defense jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning defense in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in machine learning defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.

What are the key skills and qualifications needed to thrive as a machine learning defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What are popular job titles related to Machine Learning Defense jobs in Raleigh, NC?

For Machine Learning Defense jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Raleigh, NC look for?

The top searched job categories for Machine Learning Defense jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Machine Learning Defense jobs?

Cities near Raleigh, NC with the most Machine Learning Defense job openings:

Infographic showing various Machine Learning Defense job openings in Raleigh, NC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 25% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.

Mixed Signal Engineer Intern

Durham, NC

Analogdevices
Electrical Equipment, Appliance, and Component Manufacturing • 5 - 10K employees

$22 - $41/hr

Full-time, Internship

Posted 20 days ago


Key responsibilities

  • Develop and validate machine learning models for analog design automation.

  • Analyze design data, simulation results, and layout metrics to extract insights.

  • Support tool development and scripting for design flow enhancements.


Analog Devices rating

8.7

Company rating: 8.7 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

19th of 162 rated electronics manufacturers


Job description

Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally?


About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.comand on LinkedIn and X.


At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network.


ADI's culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees.


At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles.


Apply now for the opportunity to grow your career and help innovate ahead of what's possible.

About the Role

As a Mixed Signal Engineer Intern at Analog Devices (ADI), you will contribute to cutting-edge analog and mixed-signal design and automation initiatives. This role offers hands-on experience in circuit design, machine learning applications, and design flow optimization, working closely with experienced engineers in a collaborative environment.

Key Responsibilities

  • Develop and validate machine learning models for analog design automation.

  • Analyze design data, simulation results, and layout metrics to extract insights.

  • Collaborate with design engineers to identify challenges and propose automation strategies.

  • Support tool development and scripting for design flow enhancements.

  • Perform analog and mixed-signal circuit analysis, design, simulation, and verification in advanced CMOS nodes.

  • Optimize physical design in collaboration with layout engineers.

  • Conduct lab evaluation and debug of pipeline ADCs; assist with test equipment setup and maintenance.

  • Document research findings and present progress to the team.

Must Have Skills:

  • Strong foundation in analog circuit design and mixed-signal systems.

  • Experience with Python and machine learning libraries (e.g., scikit-learn, PyTorch).

  • Familiarity with EDA tools such as Cadence Virtuoso.

  • Exposure to design automation concepts and analog layout-aware design.

  • Experience with data analysis tools (e.g., MATLAB, pandas).

  • Knowledge of ADC architectures, high-speed analog design, clocking, and calibration techniques.

  • Strong communication skills and initiative in exploring interdisciplinary challenges.

Preferred Education and Experience:

  • Currently enrolled in an Undergraduate, Masters, or PhD program: in Electrical Engineering, Computer Engineering, or a related field.

  • Coursework in Analog IC Design; familiarity with ADC architectures is a plus.

  • Understanding of transistor-level design and simulation using tools such as Cadence and SPICE.

  • Knowledge of IC physical design and exposure to sub-micron process nodes.

  • Familiarity with lab equipment such as signal generators and spectrum analyzers.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Internship/CooperativeRequired Travel: Yes, 10% of the timeThe expected wage range for a new hire into this position is $22 to $41.

Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.


What Analog Devices employees say

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Benefits

Hours and flexibility

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About Analog Devices

Sourced by ZipRecruiter

Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Norwood, MA, US